Andrew Bauman
Vice President Of AI & Data
Seattle, Washington, United States
Summary
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Rockstar🎓
Top SchoolAndrew Bauman is a Principal AI Engineer and Director of Machine Learning Engineering with 11 years of experience building “machines that build machines” — enterprise-scale ML/AI platforms, reusable pipelines, and HIPAA-compliant cloud infrastructure that accelerate product and clinical outcomes. He has led cross-functional teams to operationalize NLU, LLM, and clinical decision-support systems end-to-end, turning unstructured clinical notes and member feedback into $2M+ recurring revenue and measurable care improvements. Comfortable both architecting platform-level MLOps on Databricks and shipping hands-on models in production, he blends rigorous reproducible research background (PhD-level science) with product-driven delivery. Notable strengths include vector search and prompt-engineering frameworks for LLM testing, automating survey analytics to cover 100% of feedback, and scaling pipelines used across multiple teams. Based in Seattle, he pairs deep technical craftsmanship (including low-level algorithmic contributions to open projects) with a talent for mentoring and translating complex AI into operational, regulated healthcare solutions.
11 years of coding experience
4 years of employment as a software developer
Michigan Technological UniversityNanodegrees: Artificial Intelligence Machine Learning Engineer, Nanodegrees: Artificial Intelligence Machine Learning Engineer at UdacityPh.D. Environmental and Molecular Toxicology, Ph.D. Environmental and Molecular Toxicology at Oregon State University
Stackoverflow
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Github Skills (9)
algorithm10
data-structures10
algorithms10
c-language10
cprogramming-language10
data-structure10
optimization10
repos9
git-repository9
Programming languages (11)
Github contributions (5)
udacity/CarND-Kidnapped-Vehicle-Project
Aug 2017 - Nov 2017
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 commits, 11 pushes, 2 comments in 3 months
Contributions summary:Andrew primarily contributed to the core logic of a particle filter project related to a "kidnapped vehicle" scenario. Their contributions focused on improving code clarity and efficiency. This included updating comments, correcting descriptions, passing function arguments by constant reference for optimization, and defining portability for mathematical constants. These efforts suggest a focus on refining and improving the underlying algorithmic implementation.
baumanab/udacity_ABTesting
Nov 2015 - May 2017
Project work for Udacity's AB Testing Course
Contributions:35 commits, 33 pushes, 1 branch in 1 year 6 months
ab-testing
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